초록 ▼

A knowledge and model based adaptive signal processor for ensuring optimum performance in automated object recognition (AOR) systems. The invention does not require ground-truth information but uses predictive performance models for parameter adaption and updates for the AOR. The performance models

A knowledge and model based adaptive signal processor for ensuring optimum performance in automated object recognition (AOR) systems. The invention does not require ground-truth information but uses predictive performance models for parameter adaption and updates for the AOR. The performance models are representations of continuous surfaces that interpolate and extrapolate for data and scenarios not previously tested. The present invention increases probability of detection and decreases false detection alarm rates of AOR systems.

대표청구항 ▼

A knowledge and model based adaptive signal processor comprising: model means for providing a plurality of performance models having parameters; differential means, connected to said model means, for differentiating each of the performance models; change determining means for computing changes in me

A knowledge and model based adaptive signal processor comprising: model means for providing a plurality of performance models having parameters; differential means, connected to said model means, for differentiating each of the performance models; change determining means for computing changes in metrics from a previous imagery frame to a current imagery frame; optimizing means, connected to said differential means and to said change determining means, for determining and/or adjusting parameters that optimize the performance models; and averaging means, connected to said optimizing means, for computing a weighted average of the parameters.